Online Store Growth based on User Reviews using Big Data Analysis

  Premkumar T,  Karthikeyan S

The process of researching, analyzing and revealing hidden data models from Big Data is known as Big Data Analytics. With this knowledge, we can reveal various crucial pieces of knowledge such as market trends, customer preferences and so on. Businesses that incorporate Big Data Analytics tend to reap excellent business benefits. One guaranteed method of getting enough customer reviews to make your product pages more persuasive for shoppers is to use a third party reviews provider. This is a useful way to build up a body of reliable reviews for product pages which could otherwise take some time. These reviews are also authenticated, so customers know that the person leaving the review has actually purchased the product in question. Drawbacks include the fact that such reviews tell other potential customers nothing about buying from your site in particular, as reviews are generally syndicated. Using this big data analysis, we can easily track and identify the original product vendor or customer. Many of the people have focus on product sales and how any peoples are satisfied with their purchase. The prediction of % may vary that depends on market competitions variables substitute of the product inflation and deflation in the retail market.

Keywords- Online Store Growth (OSG), OSG - Big Data Analysis (BDA)(OSGBD), User Reviews (UR), Online Store Growth with user Reviews (OSGUR-BDA)

Unique Identification Number - IJEDR1904026
Page Number(s) - 145-150
Pubished in - Volume 7 | Issue 4 | October 2019
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Premkumar T,  Karthikeyan S,   "Online Store Growth based on User Reviews using Big Data Analysis", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 4, pp.145-150, October 2019, Available at :http://www.ijedr.org/papers/IJEDR1904026.pdf